… tool to describe the relationship among sound and its corresponding motion-gestural actions
in musical performance. The study is based on the principle that speech and gestures are …

… by demonstration principle [32] to arbitrarily allow a user to define gesture representation by
… However, the two states merged to one value can be reviewed as a suitable input for a DTW …

… intelligence (AI) and machine learning (ML) techniques that have been applied to human
gesture … (HAR), music generation and interaction, and motor learning. Capturing the temporal …

… been appropriating machine learning (ML) to apply for various tasks such as gesture-sound
mapping … Machine learning of musical gestures: Principles and review. In Proceedings of the …

… machine learning through the use of artificial agents and reinforcement learning in an
assisted interactive machine … We first review related work on concatenative synthesis in …

… in music making, and it is also at the centre of several other implementations of machine
learning in music … Moreover, AIML can in principle be combined with established interaction …

… particular choreographers segment gestures in other motion … with a musical soundtrack and
without a musical soundtrack. … (principal components) are used as input to a Support Vector …

… gesture synthesis, before delving into deep learning … organizing principle, examining systems
that generate gestures … Concurrent with the exposition of deep learning approaches, we …

… Building on these three core principles and our detailed review of recent work, we propose
… the speech and gestures of a human subject, how can we align specific gestures with spoken …

… Finally, we compare different ML and deep learning algorithms for emotion recognition
and suggest several open problems and future research directions in this exciting and fast-…